Sentence examples for visual clustering from inspiring English sources

The results of this visual clustering are shown in Fig. 3.

The visual clustering methods are limited to problems that can be defined by three properties.

The visual clustering algorithms were applied to the same datasets using the same feature set as described in Sect.

Self-organizing maps (SOM) and Principal Component Analysis (PCA) methods were implemented to generate visual clustering and to find out the correlations between experimental data.

The algorithm behind the visual clustering interface in TB Mobile performs a simple 2D embedding of a collection of molecules, then dynamically repositions them based on predefined tethers.

Furthermore, the experimental results clearly indicated that the machine-part visual clustering using GHSOM can be successfully applied in identifying a cohesive set of part family that is processed by a machine group.

The visual cluster represents the deformation of the face shape.

Then, the aligned audio HMM states and the visual cluster centers are used to find the best visual cluster for the input audio, and to compose new facial animation parameters.

Using the HMM state or the center of the visual clusters as the outputs of visual parameters, the HMM inversion can simulate the detailed facial deformation while speaking.

In our study, we have classified all visual parameters into several visual clusters (see section "Two-layer clustering in visual configuration") and choose a four-state right-left HMM model for each cluster.

The bullseye display metaphor for article relevance was understood by users; however, they were confused by the concept of similarity searching expressed as visual clusters.